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Full-time · Bengaluru

AI & Cloud Consultant

Bosch · Bengaluru

  • Bengaluru
  • Full-time
  • 14+ Yrs
  • Information Technology
  • Posted 2026-10-13
Apply on Bosch's careers site ↗Free · opens the employer's official posting

Job description

Bosch Global Software Technologies Private Limited is a 100% owned subsidiary of Robert Bosch GmbH, one of the world's leading global supplier of technology and services, offering end-to-end Engineering, IT and Business Solutions. With over 28,200+ associates, it’s the largest software development center of Bosch, outside Germany, indicating that it is the Technology Powerhouse of Bosch in India with a global footprint and presence in the US, Europe and the Asia Pacific region.

Job Description

As a Cloud & AI Consultant , you will drive the adoption of cloud and AI technologies to solve complex business challenges and enable digital transformation. The role combines business consulting, cloud technology, AI/GenAI, integration, and solution architecture to deliver scalable, secure, and business-value-driven solutions.

Key Responsibilities

  • Understand business challenges and translate them into cloud, AI, and digital solution opportunities .
  • Design and implement scalable solutions using cloud platforms, AI/GenAI, APIs, integration, and modern application technologies .
  • Identify opportunities to apply Generative AI, Agentic AI, automation, and intelligent applications to improve business processes and user experience.
  • Work with Cloud ecosystem technologies to extend and integrate enterprise applications where applicable.
  • Define solution architecture, technology choices, integration patterns, and implementation approaches aligned with enterprise standards.
  • Develop PoCs, prototypes, and MVPs to validate innovative cloud and AI use cases and accelerate adoption.
  • Collaborate with business stakeholders, architects, product teams, developers, and external technology partners.
  • Evaluate emerging technologies and assess their applicability, maturity, risks, and business value.
  • Ensure solutions address key aspects such as security, scalability, data privacy, performance, maintainability, and cost optimization .
  • Create reusable accelerators, frameworks, patterns, and knowledge assets to enable adoption across projects and teams.
  • Contribute to technology communities, competency development, mentoring, and knowledge-sharing initiatives.
  • Support customers and internal stakeholders in defining cloud and AI roadmaps and transformation strategies.

Core Technical Skills

Cloud

  • Strong understanding of cloud concepts, cloud-native architecture, and services.
  • Experience with one or more major cloud platforms such as Microsoft Azure, AWS, or Google Cloud .
  • Understanding of containers, APIs, microservices, serverless technologies, and cloud security.

AI / GenAI

  • Understanding of Generative AI, LLMs, prompt engineering, RAG, AI agents, embeddings, and vector databases .
  • Experience developing or integrating AI-powered applications and services.
  • Understanding of responsible AI, data privacy, security, and AI governance.

Engineering

  • Programming experience in technologies such as Python, Java, JavaScript/TypeScript or ABAP .
  • Experience with REST APIs, event-driven architecture, Git, CI/CD, and DevOps practices.
  • Understanding of databases, data platforms, and data integration.

Consulting & Leadership Competencies

  • Strong problem-solving and analytical thinking with the ability to move from problem identification to solution shaping.
  • Strong stakeholder management and communication skills.
  • Ability to translate complex technology concepts into business outcomes and value propositions .
  • Customer-centric mindset with strong consulting and influencing skills.
  • Ability to work effectively in cross-functional and distributed teams.
  • Curiosity and continuous learning mindset toward emerging cloud and AI technologies.
  • Ability to take end-to-end ownership and drive solutions from ideation ? PoC ? MVP ? production adoption .

Experience & Qualifications

  • Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related field.
  • Typically 14+ years of experience in IT consulting, cloud engineering, solution architecture, enterprise applications, or digital transformation.
  • Demonstrated experience delivering cloud-based or AI-enabled solutions.
  • Experience working with enterprise customers and multiple stakeholders.
  • Cloud certification such as Azure, AWS, or Google Cloud is desirable.
  • SAP BTP / SAP AI / relevant AI certifications are an advantage.

 

BE, BTech,MCA

14 - 17 Years

Posting text © Bosch, shown from its public careers page for reference; the employer's page is the authoritative version. Posted 2026-10-13; listed here until 2026-12-12 unless the employer closes it earlier.

Bosch

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